JP4336507B2 - Living environment control system - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a living environment control system for controlling an air conditioner capable of changing an environment such as temperature, humidity, and atmospheric pressure in a living space.
[0002]
[Prior art]
Conventionally, a living environment control system for controlling an air conditioner controls a living space to have a constant temperature and a constant humidity regardless of external weather in order to make the living space a comfortable environment. It was like that. Also, in a living space where the health of the resident should be considered first, such as in a hospital, etc., the air conditioner has been controlled to have a constant temperature and a constant humidity so as not to exacerbate the illness of the resident. It was.
[0003]
[Problems to be solved by the invention]
However, people live by changing weather, and human health is closely related to changes in weather. According to the inventors' research, for example, as shown in FIG. 1, ureteral stones are frequent from night to early morning, as shown in FIG. 2, and as shown in FIG. 2, cerebral infarction is frequent in the morning, As shown in FIG. 3, it is clear that hyperbreathing syndrome is frequent from morning to night. In addition, as a result of examining the correlation between the weather and the number of emergency transports per day by an ambulance for a disease that is said to occur frequently in summer (this is defined as “Natsuyama type disease”), as shown in FIG. There was a significant correlation with many diseases such as heat stroke and dehydration. Furthermore, as a result of examining a similar correlation for a disease that is said to occur frequently in winter (this is defined as “winter mountain type disease”), as shown in FIG. Significant correlation was observed for diseases such as blood. Thus, the inventors have clarified that in many diseases, there is a deep relationship between changes in weather and the occurrence of diseases, and the relationship also varies from disease to disease. From these research results, in order to prevent diseases and live a healthy life, it is not necessary to simply control the living space so that it becomes a certain environment to prevent getting sick. It is necessary to change the environment so as to be in an optimum state with time. On the other hand, since the conventional living environment control system cannot control the air conditioner in consideration of such a change in weather, the disease prevention effect cannot be sufficiently obtained.
[0004]
On the other hand, a living environment control system that takes into consideration the temperature of the outside world, taking into account the energy saving as well as the comfort, is also known (see, for example, Patent Document 1).
[Patent Document 1]
JP-A-1-137243
According to this living environment control system, not only comfort but also energy saving operation of the air conditioner can be realized. However, since this residential environment control system is not considered for disease prevention, it is still impossible to sufficiently obtain the effect of disease prevention. In addition, in order to carry out the energy saving operation of the air conditioner, the comfort level is sacrificed to some extent, and the satisfaction level of the resident is low.
[0006]
The present invention has been made in view of the above-described conventional situation, and can provide a living environment control system that can sufficiently obtain disease prevention effects, can save energy, and has high resident satisfaction. This is a problem to be solved.
[0007]
[Means for Solving the Problems]
[0008]
The living environment control system of the present invention is a living environment control system for controlling an air conditioner capable of changing the environment of a living space, and inputs past weather data, past disease data, and weather forecast. Data input means, correlation analysis means for obtaining a correlation between a change in weather and a disease by analyzing the inputted past weather data and the inputted past disease data, and the correlation And a sequence creating means capable of creating an optimal living environment sequence for preventing a disease based on the weather forecast inputted.
[0009]
In the present invention, past weather data, past disease data, and weather forecast are input by the data input means. As past weather data to be input, for example, weather data published by the Japan Meteorological Agency can be used. In addition, as the weather forecast, a weather forecast for each fixed area currently provided by a private weather forecast company can be used. The past meteorological data and past disease data input in this way are analyzed by the correlation analysis means, and the correlation between the disease and the weather is obtained. Furthermore, the living environment analysis means can determine the optimal living environment sequence for preventing diseases from the correlation and the weather forecast. Here, the optimal living environment sequence refers to a sequence for providing a series of optimal environments that respond to changes in weather outside the living space and that change from moment to moment in order to prevent diseases. Thus, the air conditioner is controlled based on the obtained living environment sequence, and a necessary living environment is provided at a timing necessary for disease prevention. For this reason, it becomes possible to drive the existing air conditioner that merely adjusts the temperature, the air volume, and the humidity based on the optimal living environment sequence for preventing diseases. Air conditioner here refers to all devices that can change the environment of the living space. Specifically, it is a broad concept including air conditioners, fan heaters, electric fans, electric heaters, oil heaters, etc. is there. These air conditioners include those provided in transportation means such as automobiles and airplanes.
[0010]
The living environment control system of the present invention does not necessarily have to be provided near the air conditioner to be controlled. For example, it is installed inside a weather forecasting company's office, the residential environment sequence obtained there is transmitted by radio waves or a packet communication network, and received by a remote controller with a built-in receiver on the air conditioner side. The harmony machine can also be controlled. In this case, it is not necessary for the user of the air conditioner to prepare all of the data input means, the correlation analysis means, and the sequence creation means, and the burden on the user's equipment cost is reduced.
[0011]
Control of the air conditioner performed by the living environment control system of the present invention is optimal control for disease prevention, and can sufficiently obtain the effect of disease prevention. In addition, unlike the conventional control that requires comfort, cooling and heating are not excessively performed, so that energy saving can be realized. In addition, residents are more satisfied with control because of the strong incentives to prevent disease.
[0012]
Therefore, according to the living environment control system of the present invention, a sufficient disease prevention effect can be obtained, energy saving can be realized, and resident satisfaction is high.
[0013]
As the correlation analysis means, for example, a computer equipped with SPSS, which is general statistical software for obtaining correlation, can be used. In this case, the correlation between the change in weather and the disease can be obtained by performing a simple correlation analysis, a regression analysis, or the like. Further, the correlation can be obtained by performing multiple regression analysis when the number of data is large, or by performing principal component analysis when the number of data is small. As the correlation analysis means, an expert system that can obtain the correlation from the case data can also be used. Examples of such expert systems include a case learning type expert system and an inductive learning type expert system. If the correlation analysis means is an expert system, it will be possible to automatically find answers based on past cases without human beings analyzing and inferring the correlation between weather changes and diseases. . For this reason, the knowledge rule base automatic generation function which learns automatically and makes a rule can be established, and autonomous control without human operation becomes possible.
[0014]
The weather data may include at least one data of temperature, humidity, and atmospheric pressure. According to the analysis results of the inventors, changes in temperature, humidity, and atmospheric pressure have a large correlation with the disease. Therefore, the effect of disease prevention is enhanced by considering these weather data.
[0015]
The data input means is capable of inputting health data relating to the health status of a person living in the controlled living space, and the sequence creation means takes into account the individual health status based on the input health data. It is preferable that an optimum living environment sequence can be obtained. In this way, it is possible to control a tailor-made living environment that is optimal for the individual health condition of the person living in the living space.
[0016]
As past disease data input by the data input means, it is possible to employ emergency transport data relating to a sick person transported by an ambulance, a medical chart of a hospital, or the like. Among them, emergency transport data is data of patients with urgent needs of transport, so the time lag that occurs between the time of illness and transport is short and the number of data is large. It is extremely suitable for examining the correlation of
DETAILED DESCRIPTION OF THE INVENTION
Embodiments 1 to 3 embodying the present invention will be described below with reference to FIGS.
[0017]
(Embodiment 1)
The living environment control system according to the first embodiment is for controlling a general-purpose air conditioner used in an office or home. As shown in FIG. 6, a sequence transmission unit 2 installed in a weather forecasting company A and And a remote controller 3 for controlling the air conditioner 20. As shown in FIG. 7, the sequence transmission unit 2 includes a data computer 2a as data input means, a control computer 2b connected to the data computer 2a via a network, and a transmission unit connected to the control computer 2b. 2c.
[0018]
In the data computer 2a, past meteorological data (temperature, humidity, etc.) at regular time intervals and ambulance ambulance data distributed from an emergency medical center as illness data are recorded. It can be continuously stored from an external information network (not shown). Further, the data computer 2a can create a weather forecast after a certain time in a certain area based on the current weather data.
[0019]
The control computer 2b has an expert system (trade name “SORA” manufactured by Sora Universal Archives Co., Ltd.) that can determine the correlation between weather changes and diseases from past weather data and past disease data. Thinkeye ") is incorporated. This expert system edits the relationship between meteorological data and disease based on past meteorological data obtained from the data computer 2a and ambulance transport data delivered from an emergency medical center as disease data. In addition, it is possible to accumulate cases and automatically conduct case learning to obtain a correlation between weather changes and diseases. Furthermore, this expert system is based on the correlation between meteorological changes and diseases and the weather forecast after a certain time in a certain area. It is also possible to create a living environment sequence for each hour.
[0020]
The transmission unit 2c can transmit the living environment sequence created by the control computer 2b using FM radio waves.
[0021]
As shown in FIG. 8, the remote controller 3 is provided with a receiving unit 3a, a memory 3b, a sequencer 3c, an infrared light emitting unit 3d, and a temperature / humidity sensor 3e. The receiver 3a can receive the sequence signal transmitted from the transmitter 2c of the weather forecast company A, and the memory 3b can store the residential environment sequence received by the receiver 3a. The sequencer 3c can transmit a sequence signal for embodying the residential environment sequence stored in the memory 3b. Further, the infrared light emitting unit 3d can emit an infrared signal to the infrared light receiving unit 20a of the air conditioner 20 (see FIG. 7) based on the sequence signal. Further, the temperature / humidity sensor 3e senses the temperature and humidity at the place where the air conditioner 20 (see FIG. 7) is installed, and feeds it back to the sequencer 3c.
[0022]
In the living environment control system according to the first embodiment configured as described above, the control computer 2b shown in FIG. 7 stores the past meteorological data stored in the data computer 2a and the ambulance as disease data. Emergency transport data and weather forecasts at regular intervals. Based on these data, the correlation between the change in weather and the disease is obtained. Further, the optimum temperature sequence of the air conditioner every fixed time shown in FIG. 9 and the air conditioner shown in FIG. A living environment sequence composed of an optimal humidity sequence at regular intervals is created for each regular area. The living environment sequence created in this way is transmitted by the FM radio wave by the transmission unit 2c. Then, the housing environment sequence is received by the receiving unit 3a of the remote controller 3 shown in FIG. 8 and stored in the memory 3b. Furthermore, the sequencer 3c reads the residential environment sequence stored in the memory 3b, a sequence signal is transmitted, an infrared signal is radiated from the infrared light emitting unit 3d and received by the light receiving unit 20a of the air conditioner 20, and the air conditioner 20 is controlled. . The temperature and humidity detected by the temperature / humidity sensor 3e are fed back to the sequencer 3c.
[0023]
Thus, the living environment control system of Embodiment 1 can control the air conditioner 20 based on the optimal living environment sequence for disease prevention, and can sufficiently obtain the effect of disease prevention. In addition, unlike the conventional control that requires comfort, there is no tendency for cooling and heating to be performed excessively, so that energy saving can be realized. Furthermore, residents have a strong incentive to prevent illness, which increases their satisfaction with control.
[0024]
As a modification of the living environment control system of the first embodiment, the air conditioner 20 can be controlled by wireless transmission instead of the control of the air conditioner 20 using infrared rays by the infrared light emitting unit 3d.
[0025]
(Embodiment 2)
In the living environment control system of the second embodiment, the transmission unit 2c and the reception unit 3a of the remote controller 3 in the first embodiment can be transmitted and received by packet communication. Other configurations are the same as those of the first embodiment.
[0026]
In the living environment control system of the second embodiment, the air conditioner is controlled by packet communication. For this reason, when a weather forecast company supplying a residential environment sequence collects a usage fee from an air-conditioner user who is a user, the usage fee can be easily collected by charging packet communication. It is also possible to operate the remote control 3 from a location outside by a mobile phone.
[0027]
(Embodiment 3)
As shown in FIG. 6, the living environment control system of the third embodiment includes a weather forecast transmission unit 4 installed in the weather forecast company A and a remote controller 5 for controlling the air conditioner 20. As shown in FIG. 11, the weather forecast transmission unit 4 includes a data computer 4a as data input means and a transmission unit 4b connected to the data computer 4a.
[0028]
The data computer 4a has the same function as the data computer 2a in the first embodiment. Further, the transmission unit 4b can transmit a weather forecast at regular intervals stored in the data computer 4a to the remote controller 5 by FM radio wave or packet communication.
[0029]
As shown in FIG. 12, the remote controller 5 is provided with a receiving unit 5a, a memory 5b, a sequence generating unit 5c, a sequencer 5d, and an infrared light emitting unit 5e. The receiving unit 5a can receive the weather forecast transmitted from the transmitting unit 2b of the weather forecast company A, and the memory 5b can store the weather forecast. The sequence generation unit 5c is programmed with a correlation equation for obtaining a housing environment sequence optimum for the air conditioner user by inputting the weather forecast and the personal health data of the air conditioner user. Further, the infrared light emitting unit 5e can emit an infrared signal to the infrared light receiving unit 20a of the air conditioner 20 based on the living environment sequence.
[0030]
In the living environment control system according to the third embodiment configured as described above, the weather forecast transmitted from the weather forecast transmitter 4 is received by the receiver 5a of the remote controller 5 and stored in the memory 5b. Then, based on the weather forecast, the sequence generation unit 5c transmits the residential environment sequence to the sequencer 5d. Further, an infrared signal for controlling the air conditioner is emitted from the infrared light emitting unit 3d based on the residential environment sequence. The temperature and humidity detected by the temperature / humidity sensor 3e are fed back to the sequencer 3c.
[0031]
Thus, the living environment control system according to the third embodiment can control a tailor-made living environment that is optimal for the health condition of the air conditioner user. In addition, the correlation equation programmed in the sequence generation unit 5c is updated by downloading the version of the correlation equation that has been reviewed along with the accumulation of data, and moreover, effective control for maintaining the health of the air conditioner user is performed. It can be carried out.
[Brief description of the drawings]
FIG. 1 is a graph showing the relationship between time and the number of transports in a ureteral stone patient transported by an ambulance.
FIG. 2 is a graph showing the relationship between time and the number of transport in a cerebral infarction patient transported by an ambulance.
FIG. 3 is a graph showing the relationship between time and the number of transports in patients with hyperventilation syndrome transported by an ambulance.
FIG. 4 is a table showing the correlation between the number of daily transports of summer mountain type diseases transported by an ambulance and the daily average value of each weather element.
FIG. 5 is a table showing the correlation between the number of daily transports of winter mountain type diseases transported by an ambulance and the daily average value of each weather element.
6 is a schematic diagram of a living environment control system according to Embodiments 1 and 3. FIG.
FIG. 7 is a block diagram of a sequence transmission unit according to the first embodiment.
FIG. 8 is a schematic diagram of a remote controller according to the first embodiment.
FIG. 9 is a graph showing a predicted temperature value and an optimum temperature sequence.
FIG. 10 is a graph showing a predicted humidity value and an optimum temperature sequence.
FIG. 11 is a block diagram of a weather forecast transmission unit according to the third embodiment.
FIG. 12 is a block diagram of a remote controller according to the third embodiment.
[Explanation of symbols]
2a, 4a ... Data input means (data computer)
2b, 4b ... correlation analysis means (control computer)
2b, 5c ... Sequence creation means (sequence generator)
20 ... Air conditioner (air conditioner)

Claims (4)

In the living environment control system for controlling the air conditioner capable of changing the environment of the living space,
Data input means for inputting past meteorological data, past disease data, and weather forecast, and analysis of the change in the weather and the disease by analyzing the past weather data inputted and the past disease data inputted. Correlation analyzing means for obtaining a correlation with the data, and sequence creating means capable of creating an optimal living environment sequence for preventing diseases based on the correlation and the inputted weather forecast And
The living environment control system, wherein the correlation analysis means is an expert system capable of obtaining a correlation from case data .   2. The living environment control system according to claim 1, wherein the weather data includes at least one data of temperature, humidity and atmospheric pressure. The data input means is capable of inputting health data relating to the health condition of a person living in the controlled living space, and the sequence creation means is an optimum considering the individual health condition based on the inputted health data. The living environment control system according to claim 1 or 2 , characterized in that a living environment sequence can be obtained.   The living environment control system according to any one of claims 1 to 3, wherein the disease data is emergency conveyance data relating to a sick person conveyed by an ambulance.

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